Note: The job is a remote job and is open to candidates in USA. Levi, Ray & Shoup, Inc. (LRS) is hiring a Data Engineer to design, build, and maintain scalable data pipelines and data-centric solutions. The role collaborates with cross-functional teams and stakeholders to ensure data is available, reliable, and accessible for business needs.
Responsibilities
- Data Pipeline Development: Design, develop, and optimize data pipelines for data ingestion, transformation, and storage
- ETL/ELT Processes: Build and manage Extract, Transform, Load (ETL) processes to ensure timely, clean, and accurate data for analytics and reporting
- Data Integration: Integrate data from various internal and external data sources into the organization's data platform
- Database Management: Work with relational databases (e.g., SQL Server) and potentially non-relational databases to store, retrieve, and manage large datasets
- Data Governance: Implement and enforce data quality, governance, and security policies to ensure compliance with regulatory and company standards
- Optimization: Optimize data workflows, query performance, and storage solutions for efficiency and cost-effectiveness
- Automation: Automate repetitive data processes and workflows to improve efficiency and reduce errors
- Monitoring & Troubleshooting: Implement monitoring, alerting, and troubleshooting processes for data systems to ensure high availability and performance
Skills
- Must have 3+ years of experience in data engineering, software development, or related field
- Strong SQL skills (complex queries, performance tuning, relational modeling)
- Experience developing and optimizing data solutions in Snowflake
- Hands-on data development experience with dbt (dbt Core and/or dbt Cloud), including modular modeling, testing, and documentation
- Experience with relational databases such as SQL Server (or similar enterprise RDBMS)
- Proficiency with at least one programming/scripting language used for data engineering (e.g., T-SQL, Python, or similar)
- Solid understanding of data warehousing concepts (dimensional modeling, staging/curation layers, incremental processing)
- Familiarity with Git and collaborative development workflows (branching, pull requests, code reviews)
- Understanding of SDLC and project delivery practices (requirements, design, build, test, deploy, support)
- Excellent problem-solving and analytical skills
- Strong communication skills with the ability to work in cross-functional teams
- Ability to manage multiple tasks in a fast-paced environment
- Strong attention to detail and commitment to delivering high-quality work
Benefits
- 100% remote
Company Overview
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